Google Pixel 8a
Geekbench AI Score
1413
Single Precision Score
1439
Half Precision Score
2120
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | March 31 2025 07:22 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 8a |
| Model ID | Google Pixel 8a |
| Motherboard | akita |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores @ 1.70 GHz |
| Cluster 2 | 4 Cores @ 2.37 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1325
246.4 IPS |
|
|
Image Classification (HP)
|
100% |
1395
259.3 IPS |
|
|
Image Classification (Q)
|
100% |
2429
451.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1545
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1499
24.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2344
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2566
2.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2080
2.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
4470
5.30 IPS |
|
|
Object Detection (SP)
|
98% |
908
72.3 IPS |
|
|
Object Detection (HP)
|
98% |
998
79.4 IPS |
|
|
Object Detection (Q)
|
83% |
1344
108.5 IPS |
|
|
Face Detection (SP)
|
100% |
2174
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
2228
26.5 IPS |
|
|
Face Detection (Q)
|
95% |
3416
40.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2031
15.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2049
15.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3113
28.5 IPS |
|
|
Style Transfer (SP)
|
89% |
5029
6.53 IPS |
|
|
Style Transfer (HP)
|
89% |
5049
6.55 IPS |
|
|
Style Transfer (Q)
|
98% |
9603
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1027
37.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1005
37.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2085
77.3 IPS |
|
|
Text Classification (SP)
|
100% |
380
507.8 IPS |
|
|
Text Classification (HP)
|
99% |
401
534.7 IPS |
|
|
Text Classification (Q)
|
88% |
539
726.7 IPS |
|
|
Machine Translation (SP)
|
100% |
772
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
947
16.3 IPS |
|
|
Machine Translation (Q)
|
50% |
469
16.6 IPS |
